NFT - Malaysia

The NFT market has significantly cooled down since the 2021–2022 hype but is showing early signs of structural maturity in 2025. Major brands and companies are increasingly using NFTs for digital collectibles, ticketing, and loyalty programs. Integration into gaming and metaverse platforms is creating new use cases beyond speculative art sales.
Technological improvements, such as scalable Layer-2 solutions and better user interfaces, are boosting adoption. New standards and greater interoperability are also building trust and market stability. However, regulatory uncertainties, particularly around ownership rights and taxation, could slow future growth.
Long-term success will depend on real utility and mainstream adoption, not short-term trading. Opportunities lie in digital ownership, the creator economy, and bridging physical and digital assets. Risks include overvaluation, lack of liquidity, and fraudulent projects. The market remains innovative, but increasingly selective, with quality beginning to stand out.

Data coverage:

The data encompasses B2C enterprises and cryptocurrency exchanges. Figures are based on trading volumes, revenues and user data of relevant services and products offered within the Digital Assets markets.

Modeling approach / Market size:

Market sizes are determined through a top-down approach, building on a specific rationale for each market segment. As a basis for evaluating the Digital Assets markets, we use annual financial reports of key players, industry reports, third-party reports, publicly available databases, and survey results from primary research (e.g. the Statista Consumer Insights). In addition, we use the trading volume of leading cryptocurrency exchanges and relevant key market indicators, such as GDP, consumer spending, population, internet penetration, online banking penetration, app downloads, and media coverage. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. In this market, we use the Support Vector Regression as it is well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers in this market are trading volumes, interest rates, inflation, GDP, population, online banking penetration, app downloads and media coverage.

Additional notes:

The market is updated twice a year in case market dynamics change.